no code implementations • 11 Sep 2023 • Pengfei Yao, Tianlu Mao, Min Shi, Jingkai Sun, Zhaoqi Wang
We introduce expert attention, which adjusts the weights of different depths of network layers, avoiding the model updated slowly due to gradient problem and enabling fast learning of new scenario's knowledge to restore prediction accuracy.
no code implementations • ICCV 2023 • Xiaohang Ren, Xingyu Chen, Pengfei Yao, Heung-Yeung Shum, Baoyuan Wang
The SOTA face swap models still suffer the problem of either target identity (i. e., shape) being leaked or the target non-identity attributes (i. e., background, hair) failing to be fully preserved in the final results.
2 code implementations • 25 Mar 2019 • Pengfei Yao, Zheng Fang, Fan Wu, Yao Feng, Jiwei Li
Recovering 3D human body shape and pose from 2D images is a challenging task due to high complexity and flexibility of human body, and relatively less 3D labeled data.